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From Spectrum Pooling to Space Pooling: Opportunistic Interference Alignment in MIMO Cognitive Networks

机译:从频谱池到空间池:MIMO认知网络中的机会性干扰对准

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We describe a noncooperative interference alignment (IA) technique which allows an opportunistic multiple input multiple output (MIMO) link (secondary) to harmlessly coexist with another MIMO link (primary) in the same frequency band. Assuming perfect channel knowledge at the primary receiver and transmitter, capacity is achieved by transmiting along the spatial directions (SD) associated with the singular values of its channel matrix using a water-filling power allocation (PA) scheme. Often, power limitations lead the primary transmitter to leave some of its SD unused. Here, it is shown that the opportunistic link can transmit its own data if it is possible to align the interference produced on the primary link with such unused SDs. We provide both a processing scheme to perform IA and a PA scheme which maximizes the transmission rate of the opportunistic link. The asymptotes of the achievable transmission rates of the opportunistic link are obtained in the regime of large numbers of antennas. Using this result, it is demonstrated that depending on the signal-to-noise ratio and the number of transmit and receive antennas of the primary and opportunistic links, both systems can achieve transmission rates of the same order.
机译:我们描述了一种非合作干扰对齐(IA)技术,该技术允许机会性多输入多输出(MIMO)链路(次要)与同一频带中的另一个MIMO链路(主要)无害地共存。假设在主要接收器和发送器具有完善的信道知识,则通过使用注水功率分配(PA)方案沿与其信道矩阵的奇异值相关联的空间方向(SD)进行传输来实现容量。通常,功率限制导致主发送器未使用其某些SD。在此示出,如果可以将在主链路上产生的干扰与这种未使用的SD对齐,则机会链路可以发送其自己的数据。我们提供了执行IA的处理方案和使机会链接的传输速率最大化的PA方案。在大量天线的情况下获得机会链路可达到的传输速率的渐近线。使用该结果,证明了根据信噪比以及主要链路和机会链路的发送和接收天线的数量,两个系统都可以实现相同数量级的传输速率。

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